What does a limited data set entail?

A limited data set refers to health information that has had certain direct identifiers removed, enabling it to be used for research, public health, or healthcare operations while still containing enough information to be useful. This type of data is subject to specific regulations and must be handled carefully to maintain patient privacy and comply with laws such as HIPAA.

The correct option highlights that while the dataset retains some non-direct identifiers (like dates of service and general locations), it excludes names, social security numbers, and other direct identifiers that could lead to the patient’s identity being revealed. This allows organizations to share useful information without compromising patient confidentiality or violating privacy laws.

In contrast, other options do not accurately describe what constitutes a limited data set. A complete set of health records with identifiers would not be limited and would pose significant risks to patient privacy. Data with some patient identifiers that cannot be shared could also contradict the premise of a limited data set, as the key aspect is that certain direct identifiers must be removed to ensure safety in sharing the data. Finally, data from anonymous surveys typically does not qualify as a limited data set since it does not involve identifiable health information that falls under the same regulations.

Understanding these nuances is crucial for complying with healthcare regulations while aiming to benefit from